Most Recent Talend Data-Integration-Developer Exam Questions & Answers

To identify execution times to verify the effectiveness of your changes, you can use one of these methods:

Reading the time stamps from the execution console in the Run view. This method allows you to see the start and end time of each subjob and component in your job, as well as the total execution time of the job. You can also see the number of rows processed by each component and the status of the job (success or failure).

Observing the execution times that annotate the flows in the Designer. This method allows you to see the execution time of each flow (main, lookup, reject, etc.) between components in your job. You can also see the number of rows processed by each flow and the throughput (rows per second) of each flow.

You cannot use these methods to identify execution times:

Observing the execution time in the Code view. This method does not show you the execution time of your job or its components, but only the generated code of your job in Java or Perl. The Code view is useful for debugging or customizing your code, but not for measuring performance.

Comparing time stamps in Trace Debug mode. This method does not show you the execution time of your job or its components, but only the values of each column for each row processed by your job. The Trace Debug mode is useful for tracing data quality or transformation issues, but not for measuring performance.Reference:Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Run view - 7.3], [Designer - 7.3], [Code view - 7.3], [Trace Debug mode - 7.3]

To reference the value of a context variable you defined, you can use the syntax context.variable_name, where variable_name is the name of the context variable. For example, if you have a context variable named path, you can reference its value by using context.path. You do not need to specify the context name (such as test or prod) or use parentheses or brackets around the variable name.Reference:Talend Data Integration --- Software to Connect, Access, and Transform Data | Talend,

The tMap component allows you to perform data transformations and joins between multiple input sources and output targets. You can configure different types of joins between the main input and the lookup tables, such as inner join, left outer join, right outer join, etc. An inner join returns only the matching rows from both tables based on a join condition. If a row from the main input does not match any row from the lookup table, it is considered as an inner join reject. You can configure an output to collect these rejects by setting the Catch inner join reject option to true. If you do so, the data will flow only to that output and not to the main output. If you do not configure an output to collect the rejects, the data will be ignored and no error will be raised.Reference:Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [tMap properties - 7.3]

To build a job to run outside Talend Studio that must run on both Linux and Windows, you need to select Build Job because jobs are runnable on all platforms. The Build Job option allows you to export your job as an executable file that can be run independently from Talend Studio on any platform that supports Java. You can access this option by right-clicking on your job in the Repository tree view and selecting Build Job. This will open a dialog box where you can configure the build settings, such as destination folder, archive name, context, etc.

You do not need to specify All for the Shell launcher option in the Build Job window, configure the job properties before building the job, or build one package for each platform. These methods are not necessary or available in Talend Studio and may cause errors or unexpected results.Reference:Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [Build Job - 7.3]

To create a job consisting of two subjobs, A and B, and add a Joblet C with the intention of running it between A and B, you need to do the following steps:

Design subjob A by adding components and links to it in the Designer workspace.

Add a Start component to mark the beginning of subjob B and link it to subjob A using an OnSubjobOk trigger.

Design subjob B by adding components and links to it after the Start component in the Designer workspace.

Add a tJobletTriggerInput component to your Joblet C design and link it to other components in your Joblet using data flows or triggers.

Add a tJobletTriggerOutput component to your Joblet C design and link it to other components in your Joblet using data flows or triggers.

Drag your Joblet C from the Repository tree view to the Designer workspace between subjob A and subjob B.

Link your Joblet C to subjob A using an OnComponentOk trigger from the last component of subjob A to the tJobletTriggerInput component of your Joblet C.

Link your Joblet C to subjob B using an OnComponentOk trigger from the tJobletTriggerOutput component of your Joblet C to the Start component of subjob B.

The minimum requirements to orchestrate this are adding TRIGGER_INPUT and TRIGGER_OUTPUT components into C and linking A, B, and C using OnSubjobOk triggers. These are generic components that allow you to define triggers for your Joblet without depending on specific components. You do not need to add TRIGGER_INPUT and TRIGGER_OUTPUT components into A or B, as these are regular subjobs that can use any type of components or triggers.Reference:Talend Open Studio: Open-source ETL and Free Data Integration | Talend, [tJobletTriggerInput properties - 7.3], [tJobletTriggerOutput properties - 7.3], [Joblets - 7.3], [Triggers - 7.3]